Nisheeth K. Vishnoi
Artificial Intelligence · 2005–2019
A researcher in the Science corpus: 10 papers; trusts 108 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it; #11,555 of 35,345 by trust here, #14,718 by citations
- Safety, Robustness & Interpretability — 53 citations into it
- Sociology and Political Science — 50 citations into it
- AI Ethics, Fairness & Society — 49 citations into it; #236 of 494 by trust here, #187 by citations
- Safety Research — 48 citations into it; #5,745 of 5,829 by trust here, #3,512 by citations
- Information Systems — 40 citations into it; #3,591 of 8,771 by trust here, #6,501 by citations
- Management Science and Operations Research — 21 citations into it; #4,449 of 11,946 by trust here, #5,316 by citations
- Statistics and Probability — 21 citations into it; #11,618 of 12,932 by trust here, #9,714 by citations
Whom Nisheeth K. Vishnoi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Elisa Celis
- Faisal Kamiran
- Jean Bourgain
- Subhash Khot
- Toon Calders
- Elchanan Mossel
- Sara Hajian
- Ben London
- Ayman Farahat
- Cynthia Dwork
Who trusts Nisheeth K. Vishnoi overall
- L. Elisa Celis
- Subhash Khot
- Prasad Raghavendra
- Lingxiao Huang
- Manish Raghavan
- Ninareh Mehrabi
- Dana Pessach
- Alexandra Chouldechova
- Anay Mehrotra
- Vijay Keswani
Papers from Nisheeth K. Vishnoi's perspective
Ordered by how strongly the researchers Nisheeth K. Vishnoi trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Ranking with Fairness Constraints (2017) — 359 citations
- The unique games conjecture, integrality gap for cut problems and embeddability of negative type metrics into l/sub 1/ (2005) — 322 citations
- Fair Personalization (2017) — 18 citations
- Multiwinner Voting with Fairness Constraints (2017) — 121 citations
- Controlling Polarization in Personalization: An Algorithmic Framework (2019) — 99 citations
- Stable and Fair Classification (2019) — 74 citations
- Toward Controlling Discrimination in Online Ad Auctions (2019) — 46 citations
- Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees (2018) — 365 citations
- Fair and Diverse DPP-based Data Summarization (2018) — 135 citations
- The Unique Games Conjecture, Integrality Gap for Cut Problems and Embeddability of Negative Type Metrics into 1 (Extended Abstract) (2005) — 130 citations